The Sr. Data Engineer is responsible for designing, building, maintaining, and analyzing large datasets to provide actionable insights that drive business decisions
Job Summary
The Sr. Data Engineer is responsible for designing, building, maintaining, and analyzing large datasets to provide actionable insights that drive business decisions.
This role involves collaborating with cross-functional teams to design end-to-end data pipelines and ensuring data quality through robust ETL processes.
Candidates must be willing and able to work evening or night shifts as required by the business needs.
Matching Summary
The Sr. Data Engineer is responsible for designing, building, maintaining, and analyzing large datasets to provide actionable insights that drive business decisions.
Skills & Requirements
Must-have
Hands on experience with Databricks
Proficiency in Apache Spark and PySpark
Strong SQL and data visualization skills
Experience with Python/R for data analysis
Knowledge of data governance frameworks
Nice-to-have
Experience with Clinical Development domain
Machine Learning model training experience
SAFe for Teams certification preferred
Cloud data platform expertise
Excellent critical-thinking skills
Key Requirements
Master's or Bachelor's degree in Computer Science or related field
9-12 years of experience in IT or Computer Science